Dynatrace

JULY 20, 2022

Artificial intelligence (AI) has been a hot topic among federal agencies as government IT leaders look to modernize their systems to help solve complex challenges. I was eager to take part in a recent Digital Government Institute workshop, “ Demystifying Artificial Intelligence.” Dynatrace news. Start small.

Artificial Intelligence 211

Artificial Intelligence Government Strategy Website 211

Dynatrace

JANUARY 22, 2024

Artificial intelligence adoption is on the rise everywhere—throughout industries and in businesses of all sizes. This representation of how different components influence one another enables intelligent reasoning about the root causes of issues. Further, not every business uses AI in the same way or for the same reasons.

Artificial Intelligence 207

Artificial Intelligence Healthcare Retail Government 207

Dynatrace

SEPTEMBER 5, 2023

Therefore, the integration of predictive artificial intelligence (AI) in the workflows of these teams has become essential to meet service-level objectives, collaborate effectively, and boost productivity. This is just one example of predictive AI in action. What is predictive AI? Enhanced incident response.

Artificial Intelligence 262

Artificial Intelligence DevOps Analytics Engineering 262

Dynatrace

JULY 6, 2022

And what are the best strategies to reduce manual labor so your team can focus on more mission-critical issues? Vulnerability management is one example of a DevSecOps workflow that teams should automate to ensure vulnerability scans run regularly. Creating a sound IT automation strategy. So, what is IT automation?

Artificial Intelligence 188

Artificial Intelligence Tuning Strategy Big Data 188

Dynatrace

JUNE 1, 2022

Log4Shel l, a security vulnerability, was a prime example of how cloud-native software development can usher in risks. As a result, CISOs see artificial intelligence and automation as key to their vulnerability management arsenal to address Log4Shell-type incidents. DevSecOps key to mature vulnerability management strategy.

Artificial Intelligence 180

Artificial Intelligence Java Strategy Cloud 180

Scalegrid

JANUARY 11, 2024

This article strips away the complexities, walking you through best practices, top tools, and strategies you’ll need for a well-defended cloud infrastructure. For example, Blumira offers a third-party solution while AWS provides its own with CloudWatch. These include alert fatigue, lack of context, and absence of strategy.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

O'Reilly

NOVEMBER 29, 2022

While it’s unlikely that the bill will become law, merely raising the possibility of criminal prosecution and jail time has upped the ante for “ commercial entities that operate high-risk information systems or automated-decision systems, such as those that use artificial intelligence or machine learning.”.

Social Media 112

Social Media Artificial Intelligence Media Government 112

O'Reilly

APRIL 4, 2024

As Bill Janeway noted in his critique of the capital-fueled bubbles that resulted from the ultra-low interest rates of the decade following the 2007–2009 financial crisis, “ capital is not a strategy.” The ride-hailing business offers a classic example of the distortive over-reliance on capital rather than consumer choice.

Artificial Intelligence 62

Artificial Intelligence Open Source Innovation Transportation 62

O'Reilly

APRIL 30, 2024

Given that our leading scientists and technologists are usually so mistaken about technological evolution, what chance do our policymakers have of effectively regulating the emerging technological risks from artificial intelligence (AI)? We ought to heed Collingridge’s warning that technology evolves in uncertain ways.

Social Media 76

Social Media Artificial Intelligence Innovation Logistics 76

Dynatrace

JANUARY 23, 2024

Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. How can organizations use AI observability to optimize AI costs?

Performance 185

Performance DevOps Innovation Artificial Intelligence 185

Scalegrid

JANUARY 8, 2024

Confused about multi-cloud vs hybrid cloud and which is the right strategy for your organization? Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Scalegrid

DECEMBER 21, 2023

Selecting the right tool plays an important role in managing your strategy correctly while ensuring optimal performance across all clusters or singularly monitored redistributions. Examples include slow command execution time which leads to poor latency and increased memory usage. </p>

Strategy 130

Strategy Monitoring Latency DevOps 130

Testsigma

DECEMBER 20, 2019

Artificial Intelligence (AI) is one such technology that has made a substantial contribution to automation in general. The following are a few examples of functional test automation tools: Quick Test Professional from HP Rational Robot from IBM Selenium, which is an open-source framework. An example of such a tool is UIPath.

Artificial Intelligence 54

Artificial Intelligence Testing Healthcare Innovation 54

Tech News Gather

FEBRUARY 20, 2023

Mobile applications can use artificial Intelligence and machine learning to analyze complex data which can be further processed to recommend services and products to the users. For example, lower latency and increased speed of 5g have led mobile applications to be much more complex and large.

Mobile 40

Mobile Development Artificial Intelligence IoT 40

O'Reilly Software

AUGUST 29, 2018

In this episode of the O’Reilly Media Podcast, Rachel Roumeliotis, VP of content strategy at O’Reilly, sat down with Daniel Krook, IBM developer advocate. The Call for Code Challenge in 2018 is a competition that rewards participants who come up with the applications that make the greatest impact.

Code 80

Code Artificial Intelligence Development Logistics 80

Dynatrace

APRIL 22, 2024

Development & delivery automation: This section addresses the extent to which an organization automates processes within the software development lifecycle (SDLC), including deployment strategies, configuration approaches, and more. Examples of qualitative questions include: How is automation created at your organization?

DevOps 185

DevOps Artificial Intelligence Government Innovation 185

CSS - Tricks

MARCH 13, 2019

Provisional strategies for image delivery. Before delving into them, let’s talk about the multiple options for presenting images so that you can devise a strategy on how and when to deliver and render yours. Let's dig into strategy for each of this types of images. Strategy for dynamic images. Intelligent Cropping.

Media 72

Media Artificial Intelligence Strategy Open Source 72

Testsigma

JULY 13, 2021

Natural Language Processing (NLP) refers to a branch of Computer Science, or in more simple words, let us say it refers to a branch of Artificial Intelligence (AI). Alexa, the Amazon voice service is an example of a solution based on NLP. Let me explain with a simple example. What is NLP? Smart Test Automation.

Testing 52

Testing Artificial Intelligence Processing Programming 52

All Things Distributed

DECEMBER 20, 2017

In today's era of global digitalization there are many examples that show that IT does matter. Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. More than mere support.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

O'Reilly

APRIL 23, 2024

For example, consider drug pricing. Amazon ’s most recent quarterly disclosures (Q4, 2023), for example, show year-on-year growth in online sales revenue of 9%, but growth in fees of 20% (third-party seller services) and 27% (advertising sales). It’s unclear whether this was a lack of imagination or a kind of “ strategy tax.”

Social Media 108

Social Media Google Internet Internet 108

O'Reilly

JULY 18, 2023

To discourage students from becoming over-reliant on AI tools, instructors used a mix of strategies, including making exams in-class and on-paper, and also having exams count for more of students’ final grades. Section 7 of our paper has more examples.) Others mentioned ethical objections to AI.

Programming 61

Programming Education Code Strategy 61

Dynatrace

MAY 1, 2023

IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights. This operational data could be gathered from live running infrastructures using software agents, hypervisors, or network logs, for example.

Analytics 187

Analytics Artificial Intelligence Big Data Open Source 187

Scalegrid

FEBRUARY 8, 2024

Data replication strategies like full, incremental, and log-based replication are crucial for improving data availability and fault tolerance in distributed systems, while synchronous and asynchronous methods impact data consistency and system costs. By implementing data replication strategies, distributed storage systems achieve greater.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JULY 5, 2022

Artificial intelligence for IT operations (AIOps) uses machine learning and AI to help teams manage the increasing size and complexity of IT environments through automation. For example, consider the adoption of a multicloud framework that enables companies to use best-fit clouds for important operational tasks.

Artificial Intelligence 285

Artificial Intelligence Cloud Innovation Strategy 285

O'Reilly

JUNE 27, 2023

Models that accept numeric inputs, for example, might sit behind a filter that only permits the range of values observed in the training data. A spike in a certain prompt, for example, could imply that someone has found a weakness and they’ve shared it with others. What Can You Do? I emphasize the term “reduce” here.

Social Media 90

Social Media Media Website Database 90

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. Let’s say, for example, an application is experiencing a slowdown in receiving its search requests. Deterministic AI.

DevOps 195

DevOps Artificial Intelligence Healthcare Innovation 195

Dynatrace

OCTOBER 30, 2023

Application performance monitoring (APM) , infrastructure monitoring, log management, and artificial intelligence for IT operations (AIOps) can all converge into a single, integrated approach. In a unified strategy, logs are not limited to applications but encompass infrastructure, business events, and custom metrics.

Best Practices 243

Best Practices Analytics Artificial Intelligence Infrastructure 243

Scalegrid

JANUARY 12, 2024

Various forms can take shape when discussing workloads within the realm of cloud computing environments – examples include order management databases, collaboration tools, videoconferencing systems, virtual desktops, and disaster recovery mechanisms. Daunting as this may seem initially.

Cloud 130

Cloud Virtualization Storage Efficiency 130

O'Reilly

NOVEMBER 28, 2023

47% are using it specifically to generate marketing copy, and 56% are using it for other kinds of copy (internal memos and reports, for example). Those applications will be built soon; tldraw is a very early example of what they might be. Is generative AI the answer? Perhaps not yet. We’d like to see more companies test for fairness.

Open Source 109

Open Source Artificial Intelligence Google Infrastructure 109

Dynatrace

MARCH 16, 2021

To recognize both immediate and long-term benefits, organizations must deploy intelligent solutions that can unify management, streamline operations, and reduce overall complexity. Here’s how. What is AIOps and what are the challenges?

Artificial Intelligence 192

Artificial Intelligence Open Source Cloud Analytics 192

O'Reilly

FEBRUARY 13, 2024

Second, the examples in a case like this are always cherry-picked. I suspect that OpenAI would have difficulty going higher, even given Microsoft’s investments—and, whatever else you may think of this strategy—OpenAI has to think about the total cost. Is this enough to limit any damages?

Open Source 94

Open Source Strategy Government Tuning 94

Testsigma

MAY 19, 2021

One such example of SaaS for test automation is Testsigma. For example, as the traffic increases, you can allocate two more machines to a particular zone. Every company works on different strategies and is bound in different situations. Sometimes people change their strategy based on the functionalities that a tool has to offer.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

Testsigma

SEPTEMBER 28, 2021

They also know that automation testing is gaining popularity and it is one of the strategies to get hold of ROI faster. The first that comes to mind while discussing a new mobile automation testing strategy is the programming languages it supports. They are smart people. This post is for all those people in the shoes of that company.

Testing Tools 52

Testing Tools Mobile Testing Artificial Intelligence 52

Official Blog - World Web Technology

MARCH 16, 2023

For example, there are food ordering websites, but mobile apps bring more convenience and comfort. For example, if you want to add features such as Augmented Reality, Virtual Reality, Artificial Intelligence, and others, costs of creating an app might go up. It is not like we did not have these facilities before.

Development 52

Development Mobile Artificial Intelligence Design 52

Dynatrace

JUNE 1, 2021

Application performance monitoring focuses on specific metrics and measurements; application performance management is the wider discipline of developing and managing an application performance strategy. All these terms refer to related technology and practices. Why businesses need APM. Why cloud-native applications make APM challenging.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

O'Reilly

JUNE 20, 2023

For example, if a customer became sick from a package of sliced mangoes in any Walmart store, the mangoes had to be discarded at all of the stores because it took more than 6 days to trace the affected shipment. The blockchain network is also really helpful when something goes wrong and a product needs to be quickly traced to its origin.

Blockchain 79

Blockchain Network Government Programming 79

O'Reilly

FEBRUARY 20, 2024

For example, every company makes poor hiring decisions from time to time, but with AI all your hiring decisions can quickly become questionable, as Amazon discovered. Some models are inherently explainable—for example, simple decision trees. Ethical obligations and responsibilities don’t change, and we shouldn’t expect them to.

Education 73

Education Healthcare Media Systems 73